基于数据挖掘的止呕方剂用药规律探析  

Analysis the Laws of Antiemetic Prescription's Medicine Application Based on Data Mining

作　　者：冯泳[1] 黄颖琦[1] 杨卫平[1] 贾恒[1] 

机构地区：[1]贵阳中医学院,贵州贵阳550002

出　　处：《现代中医药》2013年第5期68-71,共4页Modern Chinese Medicine

基　　金：贵州省科学技术基金项目: [黔科合 J 字( 2011) 2293 号]

摘　　要：目的运用数据挖掘技术探索与总结中医止呕方剂的用药规律。方法从《中医方剂大辞典》中筛选出1004首止呕方剂,按照数据挖掘技术要求进行预处理,同时引入ORACLE数据库管理系统将预处理的结果进行数据建库,利用SQL Server工具对止呕复方的主治证候、关键用药、方剂结构进行数据挖掘分析。结果中医止呕方剂核心用药依次是生姜、陈皮、半夏、茯苓、人参等。核心用方多为小半夏汤、小半夏加茯苓汤等。结论数据挖掘结果从客观角度反映了中医止呕方剂组方选药的一般规律与特点,符合中医既往知识和临床实践认识体系,表明数据挖掘技术用于中医复方配伍研究可行性良好,具有推广运用价值。objective to use data mining technology to explore and summarize traditional antiemetic prescription drug law. Methods Choose 1004 antiemetic prescriptions from the ＂Traditional Chinese Medicine Prescription Dictionary＂, based on the technical requirements for preprocessing in data mining, while the introduction of the ORACLE database management system databased the result of preprocessing, data mining analysis using SQL Server tools on the antiemetie compound treating syndromes, key medications, and formula structure. The Results traditional Chinese medicine prescription drug antiemetic core followed by ginger, Chenpi, pineflia, Poria, Radix Ginseng etc. The core prescriptions were Xiaobanxia decoction, Xiaobanxia plus Fuling decoction etc. Conclusion the data mining results from an objective point of view reflects the general rules and characteristics of traditional Chinese medicine prescription drug of antiemetic, according with the cognition system of traditional Chinese medicine and clinical practices showed that the previous knowledge, data mining technology used in traditional Chinese medicine compound prescription has good feasibility study, and has applicationvalue.

关 键 词：数据挖掘 止呕方剂 用药规律 

分 类 号：R289.1[医药卫生—方剂学]